hepdata_lib

Library for getting your data into HEPData

Installation

pip install hepdata_lib

Getting started

For using hepdata_lib, you don’t even need to install it, but can use the binder or SWAN (CERN-only) services using one of the buttons below and following the instructions in the notebook with name Getting_started:

You can also use the docker image:

docker run --rm -it -p 8888:8888 clelange/hepdata_lib

And then point your browser to http://localhost:8888 and use the token that is printed out.

Further examples

There are a few more examples available that can directly be run using the binder links below or using SWAN (CERN-only, please use LCG release LCG_94 or later) and selecting the corresponding notebook manually:

• Reading in text files .. image:: https://mybinder.org/badge.svg

  target:https://mybinder.org/v2/gh/HEPData/hepdata_lib/master?filepath=examples/Getting_started.ipynb alt:Binder

• Reading in a CMS combine ntuple .. image:: https://mybinder.org/badge.svg

  target:https://mybinder.org/v2/gh/HEPData/hepdata_lib/master?filepath=examples/combine_limits.ipynb alt:Binder

• Reading in ROOT histograms .. image:: https://mybinder.org/badge.svg

  target:https://mybinder.org/v2/gh/HEPData/hepdata_lib/master?filepath=examples/reading_histograms.ipynb alt:Binder

• Reading a correlation matrix .. image:: https://mybinder.org/badge.svg

  target:https://mybinder.org/v2/gh/HEPData/hepdata_lib/master?filepath=examples/correlation.ipynb alt:Binder

External dependencies

• ROOT
• ImageMagick

Make sure that you have ROOT in your $PYTHONPATH and that the convert command is available by adding its location to your $PATH if needed.